AI Engineer- Glen-Erik

Eightelevengroup; Miami, Northern (FL, KY); Hybrid; USD 96,000 - 110,000; Full time

Job summary

Eightelevengroup in Miami, FL is seeking a Senior AI Engineer to design and scale AI-powered recommendation products that enhance guest personalization, pricing, and revenue optimisation.

Join a cross-functional team to turn models into robust production applications, leveraging Python, Databricks, and advanced ML workflows. Hybrid role with strong impact on guest experience and business outcomes.

Qualifications

• Design, build and enhance production-grade AI-powered recommendation systems.
• Translate AI/ML models into scalable software solutions.
• Develop production-quality applications using Python.
• Build and operationalise AI/ML solutions in Databricks environments.
• Develop and maintain CI/CD pipelines and version-control practices.
• Integrate LLMs with traditional ML and business rules.

Responsibilities

• Design, build, and enhance production-grade AI-powered recommendation systems.
• Translate AI/ML models and prototypes into scalable software solutions.
• Develop production-quality applications and services, primarily using Python.
• Build and operationalise AI/ML solutions within Databricks environments.
• Develop and maintain CI/CD pipelines, deployment processes, and version-control practices.
• Integrate LLMs, predictive models, and business logic into recommendation workflows.
• Collaborate with AI Engineers, Data Scientists, and stakeholders to translate business objectives into technical solutions.
• Improve system scalability, reliability, and performance as AI products mature.
• Independently troubleshoot problems and drive solutions from concept to production.

Skills

Python

CI/CD

Databricks

AI/ML

LLMs integration

Tools

Git

Job description

AI Engineer
Miami, FL
Hybrid Role
$70 - $80 per hour

ABOUT THE ROLE

Our client, a leading enterprise cruise line, is seeking a Senior AI Engineer to join their growing team in Miami, FL. This role is focused on building and scaling AI-powered recommendation products that drive guest personalization, pricing, and revenue optimisation. As a Senior AI Engineer, you will operate at the intersection of AI/ML and software engineering, leveraging your expertise to turn models and prototypes into robust, scalable production applications. You will play a key role in evolving recommendation‑engine initiatives from early‑stage solutions and MVPs into enterprise‑grade products used across the business. This is an exciting opportunity to collaborate with cross‑functional teams, drive the evolution of AI products, and make a significant impact on the guest experience and business outcomes.

WHAT YOU'LL DO

• Design, build, and enhance production‑grade AI‑powered recommendation systems
• Translate AI/ML models and prototypes into scalable, reliable software solutions
• Develop production‑quality applications and services, primarily using Python
• Build and operationalise AI/ML solutions within Databricks environments
• Develop and maintain CI/CD pipelines, deployment processes, and version‑control practices
• Integrate LLMs, predictive models, business logic, and behavioural data into recommendation workflows
• Utilise AI‑assisted development tools and coding agents to accelerate engineering and problem solving
• Collaborate with AI Engineers, Data Scientists, and business stakeholders to translate business objectives into technical solutions
• Improve system scalability, reliability, maintainability, and performance as AI products mature
• Independently troubleshoot problems and drive technical solutions from concept through production

WHAT YOU BRING

• 4-5+ years of relevant software, AI/ML, or data engineering experience with demonstrated senior‑level engineering maturity
• Strong Python development skills and experience writing production‑quality code
• Hands‑on experience building and operationalising AI/ML solutions in production
• Experience with Databricks and modern data/AI environments
• Strong understanding of software engineering fundamentals, including CI/CD, automated deployment pipelines, Git/source control, testing, modular design, and production monitoring
• Experience integrating machine learning models into applications, services, or production workflows
• Ability to independently solve ambiguous technical problems and align solutions with business objectives
• Strong written and verbal communication skills
• Experience building recommendation engines, personalisation platforms, or propensity models (preferred)
• Experience combining LLMs with traditional machine learning and business‑rule systems (preferred)
• Understanding of Data Science workflows and common ML modelling approaches (preferred)
• Experience scaling prototypes or MVPs into enterprise‑grade applications (preferred)
• Experience with cloud‑based AI architectures and APIs/services for production ML applications (preferred)
• Familiarity with coding agents and AI‑assisted development tools (preferred)